Case Study 2: Bridging the Gap

The Rise of Business Integration Roles for Data Professionals

How a growing manufacturer scaled smarter with Data Catalyst roles and a reimagined business model. Scroll down for the full story.

The Challenge

This manufacturing client was making a bold shift to digital-first product development. But as the company moved from hands-on prototyping to cloud-based systems, they hit a friction point: technology alone couldn’t bridge the gap between legacy teams and emerging digital practices.

What they needed wasn’t just new tools, but new roles to connect the dots across product, engineering, data, and the business.

Only 1 in 4 teams reported feeling confident in using data to make daily decisions—despite the company’s growing digital investments.

1 in 4

The Key Pain Points

Lack of integration between product, analytics, + ops teams

Missed opportunities to apply AI/ML because of knowledge silos

Low visibility into the value of existing data initiatives

Resistance to adopting data-driven workflows and tools

Difficulty scaling customer support without growing headcount

Unclear roles and responsibilities across teams

The Solution: Data Catalyst Role

To bridge the cultural and operational divide, Black Antler introduced and implemented a new role: The Data Catalyst—a cross-functional translator who brings clarity, alignment, and trust into data adoption efforts.

Identifying Opportunities

  • Proactively uncover pain points where data could drive business value

  • Encourage experimentation with AI, ML, and emerging tools

Facilitating Collaboration

  • Guide and mentor teams in data best practices

  • Act as educators and translators across business units

Enabling Data Democratization

  • Showcase the ROI of data initiatives with clear metrics and KPIs

  • Tie insights back to real business outcomes, not just dashboards

Results in 6 Months

Looking Ahead

With Data Catalyst roles embedded, this client is now equipped to scale smarter. They’re applying the same integration model to supply chain, product planning, and service experience—while investing in data literacy programs to deepen adoption across teams.

Business integration is no longer an afterthought—it’s part of their operating model.

Let’s partner together

Wondering if a Data Catalyst could work inside your organization?

Let’s talk about how business integration roles can unlock your next stage of growth.

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Case Study 1: Turning Data Chaos into Value